Stop rebuilding scrapers — managed, maintained social-data API for devs

Many engineering teams, product teams, and third-party app makers spend recurring effort rebuilding brittle scrapers to collect social signals for analytics, moderation, growth, fraud and AI use cases; those DIY pipelines break whenever platforms change rate limits or anti-bot measures, forcing costly, unpredictable maintenance. Developers prefer stable, JSON-first endpoints but official APIs are limited or expensive, so the pain is broad and persistent across startups and established businesses alike. The product would be a managed, maintained social-data API that normalizes feeds across major platforms into consistent JSON schemas with provenance metadata, delta/streaming endpoints, historical backfills, ML-ready labels, SDKs, webhooks and enterprise SLAs — priced and packaged for developers (reference $2,000 ACV in a $10.0B market defined as 5,000,000 potential customers). It should include an operational stack for rate-limit brokerage, rotation of collection tactics, automated resilience testing, data-quality metrics and a legal/compliance layer to reduce customer risk at onboarding. This market is attractive now because AI/ML adoption has created strong demand for consistent, labeled social signals and platform policies are tightening, increasing willingness to pay for a stable feed; the opportunity has a market score of 92/100 and revenue potential of 88/100. To win against a medium level of competition you must differentiate on operational excellence and trust: measurable SLAs, transparent provenance and data-quality dashboards, aggressive instrumented recovery from platform changes, and clear licensing/compliance guarantees. Be honest about the hard parts — ongoing legal risk, proxy and infrastructure costs, and continuous engineering to keep collectors working — because execution and credibility, not just technology, will decide whether this becomes a durable business.